Eric Knauss
I am a Professor at the Department of Computer Science and Engineering, Chalmers | University of Gothenburg. My research interests focus on Requirements Engineering, Experience Management, Communication in Global Software Development, Project Management, Agile Methods, and Software Architecture.
Showing 101 publications
Causal models for specifying requirements in industrial ML-based software: A case study
Causal Models in Requirement Specifications for Machine Learning: A vision
A Data-Flow Oriented Software Architecture for Heterogeneous Marine Data Streams
Managing security evidence in safety-critical organizations
Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems
Requirements and software engineering for automotive perception systems: an interview study
Requirements Strategy for Managing Human Factors in Automated Vehicle Development
Aspects of modelling requirements in very-large agile systems engineering
Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices
Requirements Engineering for Automotive Perception Systems: An Interview Study
Human factors in developing automated vehicles: A requirements engineering perspective
Synthesized data quality requirements and roadmap for improving reusability of in-situ marine data
Defining Requirements Strategies in Agile: A Design Science Research Study
Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes
Architecture evaluation in continuous development
Agile Beyond Teams and Feedback Beyond Software in Automotive Systems
What Makes Agile Software Development Agile
VEDLIoT: Very Efficient Deep Learning in IoT
Requirements engineering challenges and practices in large-scale agile system development
Requirements engineering challenges and practices in large-scale agile system development
Why and How Your Traceability Should Evolve: Insights from an Automotive Supplier
Managing Traceability Information Models: Not Such a Simple Task After All?
Constructive Master's Thesis Work in Industry: Guidelines for Applying Design Science Research
Requirement engineering challenges for ai-intense systems development.
Agile Islands in a Waterfall Environment: Challenges and Strategies in Automotive
Foreword to the Special Issue in Empirical Software Engineering: Best Papers of REFSQ 2019
Beyond connected cars: A systems of systems perspective
Why and how to balance alignment and diversity of requirements engineering practices in automotive
On interfaces to support agile architecting in automotive: An exploratory case study
Use, potential, and showstoppers of models in automotive requirements engineering
The Impact of Requirements on Systems Development Speed: A Multiple-Case Study in Automotive
Challenges of Scaled Agile for Safety-Critical Systems
The Missing Requirements Perspective in Large-Scale Agile System Development
Involving External Stakeholders in Project Courses
A model of estimating the strategic development of a company on the base of expert knowledge
Organisation and Communication Problems in Automotive Requirements Engineering
The Problem of Consolidating RE Practices at Scale: An Ethnographic Study
T-Reqs: Tool support for managing requirements in large-scale agile system development
The manager perspective on requirements impact on automotive systems development speed
Modeling support for strategic API planning and analysis
Safety-Critical Systems and Agile Development: A Mapping Study
Continuous Clarification and Emergent Requirements Flows in Open-Commercial Software Ecosystems
Experiences applying e<sup>3</sup> value modeling in a cross-company study
Welcome to the sixth international workshop on empirical requirements engineering (EmpiRE 2017)
Quality Requirements in Agile as a Knowledge Management Problem: More than Just-in-Time
Adding value every sprint: A case study on large-scale continuous requirements engineering
Herding cats in a FOSS ecosystem: a tale of communication and coordination for release management
Requirements Engineering Challenges in Large-Scale Agile System Development
How do Practitioners Perceive the Relevance of Requirements Engineering Research? An Ongoing Study
Automotive Architecture Framework: The experience of Volvo Cars
Hybrid software and systems development in practice: Perspectives from Sweden and Uganda
Verdict Machinery: On the need to automatically make sense of test results
Collaborative Traceability Management: Challenges and Opportunities
Teaching Agile: Addressing the Conflict Between Project Delivery and Application of Agile Methods
Herding cats: A case study of release management in an open collaboration ecosystem
Scaling up the Planning Game: Collaboration Challenges in Large Scale Agile Product Development
Herding Cats: A Case Study of Release Management in an Open Collaboration Ecosystem
A proposal for an Automotive Architecture Framework for Volvo Cars
Continuous API Design for Software Ecosystems
Challenges of Requirements Engineering in AUTOSAR ecosystems
Supporting Continuous Integration by Code-Churn Based Test Selection
Research Preview: Supporting Requirements Feedback Flows in Iterative System Development
Patterns of Continuous Requirements Clarification
The Role of Secondary Software in Automotive Ecosystems
Cross-Organizational Challenges of Requirements Engineering in the AUTOSAR Ecosystem: A Case Study
The Driving Forces of API Evolution
Teaching scrum – what we did, what we will do and what impedes us
Challenges of Requirements Engineering in AUTOSAR Ecosystems
Continuous API-Design for Software Ecosystems
Technical Dependency Challenges in Large-Scale Agile Software Development
Openness and Requirements: Opportunities and Tradeoffs in Software Ecosystems
Agile Development in Automotive Software Development: Challenges and Opportunities
Dedicated Support for Experience Sharing in Distributed Software Projects
EAM: Ecosystemability Assessment Method
(Semi-)Automatic Categorization of Natural Language Requirements
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Showing 4 research projects
FAMER - Facilitating Multi-Party Engineering of Requirements
Very Efficient Deep Learning in IOT (VEDLIoT)